Mathematics & Statistics - Statistics
Graduate Taught (level 9 nfq, credits 90)
The MSc in Statistics is specifically designed to provide students with a solid theoretical and applied statistical knowledge so that they can be employed either as an applied statistician or a statistical researcher on completion of the degree.
There are opportunities for MSc in Statistics graduates in industry, government, IT, economics and finance. On completion of this MSc in Statistics, you will have skills such as the ability to demonstrate in-depth understanding of statistical concepts, apply basic statistical reasoning, techniques and models in the analysis of real data and employ technical computing skills.
• Ranked in the top 200 in the world in the QS World University Ranking, and is the only statistics group in Ireland to appear in this ranking.
• The UCD MSc in Statistics is fully accredited by the Royal Statistical Society.
• Wide range of possible taught modules available.
• Exposure to popular statistical software's.
Vision and Values Statement
This programme is aimed at students who have an undergraduate degree which has a strong focus on statistics and/or mathematics, and who wish to gain a deeper understanding of the subject. The programme trains students in both applied and theoretical statistics, and prepares them well for a career either in industry or in academia. The taught modules in the programme provide a thorough grounding in statistics; the (supervised) research project introduces the students to the area of statistical research. We expect our students to become autonomous learners and researchers capable of setting their own research agenda. They will be capable of solving relevant problems in the language of statistics. Our graduates will be in demand by employers and academic research institutes for their ability to use the tools they have learned to explain, describe and predict. We value students who are motivated to find the underlying causes and reasons for observations and patterns. We aim to provide a teaching and learning environment that develops confidence and independence through a wide variety of interactive formats, both inside and outside the classroom.
• Approach problems in an analytical, precise and rigorous way
• Demonstrate in-depth knowledge of the key skills required by a practicing statistician, including data collection methods, statistical method development, analysis of statistical output
• Demonstrate strong proficiency in mathematical and computational methods, including computer programming and scientific visualization
• Give oral presentations of technical mathematical material at a level appropriate for the audience
• Model real-world problems in a statistical framework
• Prepare a written report on technical statistical content in clear and precise language
• Undertake excellent research at an appropriate level, using the statistical research skills learnt in the programme
• Use the language of logic to reason correctly and make deductions
• Work independently and be able to pursue a research agenda.
MSc Actuarial Science FT
MA Statistics FT
MSc Data Analytics PT
HDip Statistics FT
Graduate Certificate Statistics
• This programme is intended for applicants who hold a degree in Statistics or a cognate subject area. An upper second class honours, or international equivalent is required.
• Those who have been awarded an upper second class honours or higher in the Higher Diploma in Statistics are eligible for the programme.
• Alternatively students may qualify for enrolment for the four semester MA in Statistics which brings them to the same level as the MSc in Statistics.
• Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.
• Students meeting the programme's academic entry requirements but not the English language requirements, may enter the programme upon successful completion of UCD's Pre-Sessional or International Pre-Master's Pathway programmes. Please see the following link for further information http://www.ucd.ie/alc/programmes/pathways/
These are the minimum entry requirements – additional criteria may be requested for some programmes
Stage 1 - Core
Technical Communication MEEN40670
Mathematical Statistics STAT40320
Applied Statistical Modelling STAT40530
Stage 1 - Option
Numerical Algorithms ACM40290
Data Mining COMP40370
Machine Learning with Python COMP47750
Applied Matrix Theory MATH40550
Statistical Machine Learning STAT30270
Actuarial Statistics I STAT40020
Actuarial Statistics II STAT40070
Design of Experiments STAT40110
Categorical Data Analysis STAT40120
Multivariate Analysis STAT40150
Survival Models STAT40250
Monte Carlo Inference STAT40400
Data Programming with R STAT40620
Stochastic Models STAT40680
Time Series Analysis - Act App STAT40700
Data Prog with C (online) STAT40780
Data Prog with Python (online) STAT40800
Adv Data Prog with R (online) STAT40830
Data Prog with SAS (online) STAT40840
Adv Bayesian Analysis (online) STAT40950
Stat Network Analysis STAT41010
1 year full-time (T020). 2 years part-time (T069).
MSc Statistics (T020) Full Time
EU fee per year - € 8045
nonEU fee per year - € 19825
MSc Statistics (T069) Part Time
EU fee per year - € 4390
nonEU fee per year - € 12800
***Fees are subject to change
Tuition fee information is available on the UCD Fees website
Next Intake: 2020/2021 September
Post Course Info
Careers & Employability
Career prospects on completion of the MSc in Statistics are excellent. Many graduates pursue careers in the pharmaceutical industry and career opportunities also exist in banking, finance and risk management. There is also an increase in demand for statisticians from the IT sector. In addition, many government departments employ statisticians. Some past students embarked on a career in academia by proceeding to study to for a PhD in Statistics. Former students are currently working for companies such as Google, Western Union, AIB, Norbrook, EY, O2, SPSS. Demand for graduates continues to be strong both in Ireland and abroad.